PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices

arXiv:2309.12483v2 Announce Type: replace
Abstract: Valuable insights, such as frequently visited environments in the wake of the COVID-19 pandemic, can oftentimes only be gained by analyzing sensitive data spread across edge-devices like smartphones. To facilitate such an analysis, we present a toolchain called PrivAgE for a distributed, privacy-preserving aggregation of local data by taking the limited resources of edge-devices into account. The distributed aggregation is based on secure summation and simultaneously satisfies the notion of differential privacy. In this way, …

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